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A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms

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dc.citedby4
dc.contributor.authorLai V.en_US
dc.contributor.authorHuang Y.F.en_US
dc.contributor.authorKoo C.H.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57204919704en_US
dc.contributor.authorid55807263900en_US
dc.contributor.authorid57204843657en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T09:36:55Z
dc.date.available2023-05-29T09:36:55Z
dc.date.issued2022
dc.descriptionDecision making; Dynamic programming; Linear programming; Nonlinear programming; Operating costs; 'current; Energy productions; Floodings; Meta-heuristics algorithms; Optimal reservoir operations; Optimizing energy; Reservoir operation; Reservoir operation optimizations; Traditional models; Water scarcity; Reservoirs (water)en_US
dc.description.abstractReservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challenges of optimally operating reservoir operations. An introductory section is given to the background of reservoir operations and the current concerns on the optimal reservoir operations, for the decision-makers and stakeholders. Next, the review covered the recent ten years (between 2011 and 2021), on the recent research developments in innovation and techniques of reservoir operation optimisation. Further reviews on the conventional techniques that are the traditional methods, linear programming, nonlinear programming, and dynamic programming are discussed. Enhancements to the techniques in improving the drawbacks of the traditional techniques in optimisation of reservoir policies are next explained and evaluated. Recent advances in applying metaheuristics optimisation algorithms beneficial to the reservoir operations are explained, including the advantages and hinderances. A comprehensive tabulated and categorised review according to the classification of reservoir models, evaluation methods, and reservoir systems is given. � 2022, The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE).en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11831-021-09701-8
dc.identifier.epage3457
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85125226965
dc.identifier.spage3435
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85125226965&doi=10.1007%2fs11831-021-09701-8&partnerID=40&md5=481e1334ee3420efdad4985661b9b59f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26816
dc.identifier.volume29
dc.publisherSpringer Science and Business Media B.V.en_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleArchives of Computational Methods in Engineering
dc.titleA Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithmsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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